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Mobility assessment in people with Alzheimer disease using smartphone sensors

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Mobility assessment in people with Alzheimer disease using smartphone sensors

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dc.contributor.author Serra-Añó, Pilar es_ES
dc.contributor.author Pedrero, J.F. es_ES
dc.contributor.author Hurtado-Abellán, J. es_ES
dc.contributor.author Inglés, M. es_ES
dc.contributor.author Espí-López, G. es_ES
dc.contributor.author Lopez Pascual, Juan es_ES
dc.date.accessioned 2020-04-24T07:13:10Z
dc.date.available 2020-04-24T07:13:10Z
dc.date.issued 2019 es_ES
dc.identifier.issn 1743-0003 es_ES
dc.identifier.uri http://hdl.handle.net/10251/141431
dc.description.abstract [EN] Background Understanding the functional status of people with Alzheimer Disease (AD), both in a single (ST) and cognitive dual task (DT) activities is essential for identifying signs of early-stage neurodegeneration. This study aims to compare the performance quality of several tasks using sensors embedded in an Android device, among people at different stages of Alzheimer and people without dementia. The secondary aim is to analyze the effect of cognitive task performance on mobility tasks. Methods This is a cross-sectional study including 22 participants in the control group (CG), 18 in the group with mild AD and 22 in the group with moderate AD. They performed two mobility tests, under ST and DT conditions, which were registered using an Android device. Postural control was measured by medial-lateral and anterior-posterior displacements of the COM (MLDisp and APDisp, respectively) and gait, with the vertical and medial-lateral range of the COM (Vrange and MLrange). Further, the sit-to-stand (PStand) and turning and sit power (PTurnSit), the total time required to complete the test and the reaction time were measured. Results There were no differences between the two AD stages either for ST or DT in any of the variables (p > 0.05). Nevertheless, people at both stages showed significantly lower values of PStand and PTurnSit and larger Total time and Reaction time compared to CG (p < 0.05). Further, Vrange is also lower in CDR1G than in CG (p < 0.05). The DT had a significant deleterious effect on MLDisp in all groups (p < 0.05) and on APDisp only in moderate AD for DT. Conclusions Our findings indicate that AD patients present impairments in some key functional abilities, such as gait, turning and sitting, sit to stand, and reaction time, both in mild and moderate AD. Nevertheless, an exclusively cognitive task only influences the postural control in people with AD. es_ES
dc.description.sponsorship This work was funded by the Spanish Government, Secretaria de Estado de Investigacion, Desarrollo e Innovacion, and co-financed by EU FEDER funds (Grant DPI2013-44227-R). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. es_ES
dc.language Inglés es_ES
dc.publisher Springer (Biomed Central Ltd.) es_ES
dc.relation.ispartof Journal of NeuroEngineering and Rehabilitation es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Functional mobility es_ES
dc.subject Alzheimer's disease es_ES
dc.subject Android device es_ES
dc.subject Dual-task es_ES
dc.subject Gait es_ES
dc.title Mobility assessment in people with Alzheimer disease using smartphone sensors es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1186/s12984-019-0576-y es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DPI2013-44227-R/ES/METODOLOGIA DE DISEÑO DE SISTEMAS BIOMECATRONICOS. APLICACION AL DESARROLLO DE UN ROBOT PARALELO HIBRIDO PARA DIAGNOSTICO Y REHABILITACION/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto de Biomecánica de Valencia - Institut Universitari Mixt de Biomecànica de València es_ES
dc.description.bibliographicCitation Serra-Añó, P.; Pedrero, J.; Hurtado-Abellán, J.; Inglés, M.; Espí-López, G.; Lopez Pascual, J. (2019). Mobility assessment in people with Alzheimer disease using smartphone sensors. Journal of NeuroEngineering and Rehabilitation. 16(1). https://doi.org/10.1186/s12984-019-0576-y es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1186/s12984-019-0576-y es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 16 es_ES
dc.description.issue 1 es_ES
dc.relation.pasarela S\392793 es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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